Paper Citation Record · LEDGER

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.00169.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.00169 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:04.371165Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy12
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5bdcdfa-61a4-493f-b84d-30383096990f · outbound

This paper cites O’Reilly Media, Inc.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments O’Reilly Media, Inc

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.720909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdf9d4e0-8eec-45e1-838e-8e7def0d0ef7 · outbound

This paper cites an unresolved cited work.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:01:04.704945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7afe2b2-3f7e-4002-b64d-29737013b471 · outbound

This paper cites Brown and D.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Brown and D

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.688085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7489d3db-1506-4a1a-9c70-48298bccde2f · outbound

This paper cites Chollet and F.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Chollet and F

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.672046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 811994d5-2c80-4c25-a5fc-9e999d3559b5 · outbound

This paper cites Di Cosmo and D.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Di Cosmo and D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.654099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddc9e9b7-7d39-4cc4-acac-9eb5b7fed1a3 · outbound

This paper cites an unresolved cited work.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:01:04.638179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01dc5ec9-b321-44b4-a302-db316a620818 · outbound

This paper cites an unresolved cited work.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:01:04.622415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08d8402d-70cb-4916-bddf-e2fb3939d0d8 · outbound

This paper cites Goodfellow, Y.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Goodfellow, Y

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.604892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 815a445f-f65a-4490-bb2b-ba725a3e563c · outbound

This paper cites Howard and S.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Howard and S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.588877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c06cb25-b4f1-40b6-b6d8-7331bd328b9e · outbound

This paper cites LeCun, Y.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments LeCun, Y

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:01:04.318253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef0d6e0-70b2-46da-bc73-851ce8abc17a · outbound

This paper cites Martí-Oliet and J.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Martí-Oliet and J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.561317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1363c1b-b421-4f96-8dbe-33f3cca3c2b5 · outbound

This paper cites an unresolved cited work.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:01:04.544867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fd456ce-9139-400a-8f1d-2518c68da385 · outbound

This paper cites an unresolved cited work.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:01:04.529038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f57efd9-1396-4b86-ac76-013ad1e4ae73 · outbound

This paper cites Salvagno, F.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Salvagno, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.512265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 762a5baa-9e2b-4420-ae2d-bf17151e494f · outbound

This paper cites O’Reilly Media, Inc.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments O’Reilly Media, Inc

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.494411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bf1484c-1162-4329-a964-73da68e13f28 · outbound

This paper cites an unresolved cited work.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:01:04.476665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdf84160-1135-4b15-9cea-ad5126d61e1c · outbound

This paper cites Schack-Nielsen and C.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Schack-Nielsen and C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.459061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6c66241-5491-41cb-a5ff-5c1659816123 · outbound

This paper cites Stevens, L.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Stevens, L

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.443631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06f7c554-ae9d-429d-8c38-06ed84e54a38 · outbound

This paper cites Benchmarking TPU, GPU, and CPU Platforms for Deep Learning.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Benchmarking TPU, GPU, and CPU Platforms for Deep Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:01:04.365156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19ca2ac-e061-4653-b052-033b0c51e896 · outbound

This paper cites Watkins, I.

DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments Watkins, I

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:01:04.427348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.